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 Examining Correlations

Creating the Analysis

The GPA data set contains information collected to determine which applicants at a university were likely to succeed in its computer science program. The variable GPA is the grade point average; HSM, HSS, and HSE are average high school grades in mathematics, science, and English; and SATM and SATV are scores on the mathematics and verbal portion of the SAT exam (Moore and McCabe 1989). Follow these steps to create a correlation analysis of the GPA data.

 Open the GPA data set.

Figure 18.2: GPA Data

 Choose Analyze:Multivariate ( Y's ).

Figure 18.3: Analyze Menu

 Select GPA, HSM, HSS, HSE, SATM, and SATV. Then click the Y button to assign these variables the Y role.

Your variables dialog should now appear, as shown in Figure 18.4.

Figure 18.4: Multivariate Variables Dialog

 Click OK to create the multivariate window.

By default, the multivariate window contains tables of Univariate Statistics and the Correlation Matrix.

Figure 18.5: Multivariate Window

Confidence Ellipses

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